Engineering Manager - Data & AI Platform (Hybrid/Remote)

Socket.dev; Bellevue (WA); Hybrid; USD 169,000 - 213,000; Full time

Benefits offered by this job

Equity plan

Hybrid work option

Competitive compensation

Job summary

iSpot is seeking an Engineering Manager to lead the Publisher Team and own the end-to-end data lifecycle from ingestion to content catalog. You will balance people leadership, technical execution, and quality across platform systems, including ads catalog, ingestion engines, and internal tooling.

The role emphasizes AI-enabled engineering, aggressive quality gates, and scalable architecture, with hybrid work options and equity components as part of a competitive compensation package.

Qualifications

• Engineering Leadership: Proven experience managing high-performing teams delivering production-grade, distributed software at scale.
• Big Data: Deep domain expertise in big data architectures, specifically managing high-throughput data ingestion, or media metadata systems.
• System Modernization: Proven track record of upgrading legacy systems and refactoring technical debt into scalable, modern platform architectures.
• AI Implementation: Experience embedding AI/ML models into production workflows to automate content cataloging, creative identification, or data tagging.
• Full-Stack Oversight: Architectural proficiency in both backend data systems and frontend technologies used to build performant internal management tools.
• Lifecycle Ownership: Demonstrated accountability for the end-to-end software lifecycle, from initial design through to post-release stability and performance.
• Quality Governance: Experience defining and enforcing rigorous quality gates, including automated unit, integration, and regression testing frameworks.
• Operational Excellence: Strong focus on production stability, using root-cause analysis and data-driven metrics to drive improvement.
• Agile Execution: Mastery of effective sprint planning to balance rapid delivery of new platform features with long-term infrastructure stability.
• Delivery Velocity: Ability to maintain a high shipping cadence while upholding strict standards for system reliability and data integrity.
• Strategic Collaboration: Exceptional communication skills to align engineering efforts with Product, Data Science, and Operations objectives.

Responsibilities

• Platform Evolution & AI Integration: Upgrade ingestion and cataloging systems to improve throughput, reduce latency, and lower debt.
• AI-Driven Automation: Embed ML to automate content cataloging, metadata extraction, and fingerprinting at scale.
• Big Data Domain Expertise: Ensure accuracy of massive ad datasets and support complex attribution modeling.
• Partner Data Integration: Onboard large third-party data sources and manage migrations or provider changes.
• End-to-End Lifecycle: Own design, development, testing, release, and post-release stability of the pipeline.
• Quality Gating: Define and enforce software quality standards, track defect density, test coverage, and uptime.
• Rigorous Testing: Ensure CI/CD includes unit/integration/regression tests; lead RCA for incidents.

Skills

Engineering Leadership

Big Data

System Modernization

AI Implementation

Full-Stack Oversight

Lifecycle Ownership

Quality Governance

Operational Excellence

Agile Execution

Delivery Velocity

Strategic Collaboration

Job description

iSpot is seeking an Engineering Manager to lead the Publisher Team and own the end-to-end data lifecycle from ingestion to content catalog. You will balance people leadership, technical execution, and quality across platform systems, including ads catalog, ingestion engines, and internal tooling.

The role emphasizes AI-enabled engineering, aggressive quality gates, and scalable architecture, with hybrid work options and equity components as part of a competitive compensation package.